2024
DOI: 10.3390/a17060238
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Simple Histogram Equalization Technique Improves Performance of VGG Models on Facial Emotion Recognition Datasets

Jaher Hassan Chowdhury,
Qian Liu,
Sheela Ramanna

Abstract: Facial emotion recognition (FER) is crucial across psychology, neuroscience, computer vision, and machine learning due to the diversified and subjective nature of emotions, varying considerably across individuals, cultures, and contexts. This study explored FER through convolutional neural networks (CNNs) and Histogram Equalization techniques. It investigated the impact of histogram equalization, data augmentation, and various model optimization strategies on FER accuracy across different datasets like KDEF, C… Show more

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Cited by 3 publications
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